Audio-Video Biometric System with Liveness Checks

Girija Chetty, Michael Wagner

    Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review


    In this paper we propose multimodal fusion of super resolved texture (SRT) features and 3D shape features
    with acoustic features for 3D audio-video person authentication systems with liveness checks. The proposed SRT
    features allow information related to non-rigid variations on speaking faces, such as expression lines, gestures,
    and wrinkles, enhancing the performance of the system against impostor and spoof attacks. Experiments with
    multimodal fusion of acoustic and super-resolved texture and 3D shape features for two different speaking face
    data corpus, VidTIMIT, and AVOZES, allowed equal error rates (EERs) of less than 0.5 % for imposter and
    type-1 replay attacks (still photo and pre-recorded audio) and less than 3% for more complex type-2 replay
    attacks (pre-recorded video or fake CG animated video).
    Original languageEnglish
    Title of host publicationProceedings of the Conference on Image and Vision Computing - New Zealand
    EditorsBrendan McCane
    Place of PublicationNew Zealand
    PublisherUniversity of Otago, Dunedin, New Zealand.
    Number of pages6
    ISBN (Print)00473105233
    Publication statusPublished - 2005
    EventIVCNZ-2005 - Dunedin, New Zealand
    Duration: 28 Nov 200529 Nov 2005


    Country/TerritoryNew Zealand


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